A social network analysis of international tourism flow

被引：0

作者：

Seok H. ^{[1
]}

Barnett G.A. ^{[2
]}

Nam Y. ^{[1
]}

机构：

[1] Department of Culture, Tourism and Content, College of Hotel and Tourism management, Kyung Hee University, Seoul

[2] Department of Communication, University of California, Davis

来源：

Quality & Quantity | 2021年 / 55卷 / 2期

关键词：

CONOR; International tourism; International tourism network; Longitudinal analysis; QAP; Social network analysis;

D O I：

10.1007/s11135-020-01011-8

中图分类号：

学科分类号：

摘要：

Using a social network analysis, this study explored how the structure of international tourism has changed longitudinally. The international tourism remained relatively stable from 2002 to 2014. The networks of outbound and inbound international tourism have decentralized gradually. Based on a quadratic assignment procedure (QAP) analysis, each of four study years of international tourism network was found to be correlated. The groups formed by CONCOR analysis have similarities in terms of their continent, language, culture, economy, and population. Furthermore, outdegree, indegree, betweenness, eigenvector centrality are correlated with each other, and GDP is correlated with outdegree, indegree, betweenness, eigenvector centrality, and population. © 2020, Springer Nature B.V.

引用

页码：419 / 439

页数：20

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